So what's up with California, which is always at the bottom of the ranking for "% of doses used"?
🤦♂️Basically it sounds like *part* of the problem was that people around the state weren't hitting "submit" at the end of the day, @angelicalavito reports.
🚨LOL okay so CDC has *just* updated and we'll add their numbers in shortly. Thanks for playing everyone.
🇺🇸And here we are with the late CDC update that missed our usual data window.
💉1.1M doses for the day
📈7-day average = 1.3M doses/day
🏆This means SIX days in a row above 1M doses/day. Looking more and more like vaccinations (or data reporting of vaccinations) have taken a turn upward.
They *usually* come out in early afternoon. But not always. And their numbers (as you can see) weight heavily in our overall count.
And the last thing I'll say tonight, about the California data (non) reporting issues, is that: 1) Yes there is data lag 2) Nobody REALLY knows how much 3) So let's not assume it's everything going on here
We will now show rolling 7-day averages for each state, as well as % of pop with first and second doses in our sortable tables. bloomberg.com/graphics/covid…
Here is out US map of the % of doses that have been delivered than have been used. There are still BIG disparities in this rate. We are investigating why -- especially California -- and hope to have more to share there ASAP. bloomberg.com/graphics/covid…
⚠️CDC updated today -- first time on the weekend IIRC -- which is great. It will also reduce Monday lag/bump. (As usual, many states did not -- but we get the CDC number in their place.)
⚠️The CDC has switched from reporting doses SHIPPED to doses DELIVERED. This means that our map and table now reflect what CDC says state have within their borders.
This ends the lag of doses being shipped but in transit that had made % used seem lower.
We heard a LOT from states (understandably) about the old method. CDC has told us they were hearing the same, and wanted to reflect reality on the ground as best they could.
So if you are complaining about your state, you are doing it with better data now.
1) Added CDC data 2) Used state counts when ahead of CDC 3) Made some BIG updates to the map + table -- you can see doses been shipped to states + what % of doses have been used